TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
marktechpost

Google AI Introduces ‘TensorStore,’ An Open-Source C++ And Python Library Designed For Reading And Writing Large Multi-Dimensional Arrays

Various modern applications of computer science and machine learning use multidimensional datasets that span a single expansive coordinate system. Two examples are using air measurements over a ...
InfoWorld

Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...
GitHub

[QUESTION] Numpy Array to C++ - take ownership of data

Is it possible to pass data from numpy to C++ and take ownership of the memory, so its no longer managed by Python? I have large Numpy matrix and I dont want to copy memory. I can use py::buffer_info ...
techentice.com

NumPy: Difference between reshape(), flatten(), ravel()

NumPy or Numeric Python is a powerful library for scientific calculations. It works with ndarray (array object in NumPy) that could be single or multi- dimensional. To perform different calculations ...